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A Personalized Resource Recommendation System Using Data Mining

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3 Author(s)
Huimin Qi ; Dept. of Educ. Technol., Capital Normal Univ., Beijing, China ; Ming Cui ; Mingming Xiao

This paper offers an overview on the concept of "personalization" applied to e-Learning processes. And we introduce a Personalized Resource Recommendation System(PRRS) in e-Learning by using Data Mining techniques. In the PRRS, there are four sub-modules: Learner Model, Learning Materials Clustering, Personalized Recommendation and Personalized Evaluation. PRRS is proposed for the purpose of recommending personalized resource to each learner in the e-Learning platform.

Published in:

E-Business and E-Government (ICEE), 2010 International Conference on

Date of Conference:

7-9 May 2010